Recent advancements in genomic and molecular profiling have significantly impacted cancer treatment strategies, particularly in precision medicine. The SERENA-6 trial explored the efficacy of fulvestrant with or without palbociclib in metastatic breast cancer (MBC) patients who had progressed on aromatase inhibitors (AIs), highlighting the importance of dynamic ctDNA assessment in guiding therapy decisions (ref: Medford doi.org/10.1038/s41571-025-01066-2/). Similarly, the PADA-1 trial underscored the potential of monitoring ESR1 mutations to inform treatment choices. In prostate cancer, a study identified transcriptome-wide expression classifiers that predict treatment sensitivity, utilizing data from over 1,500 patients to establish associations between biological pathways and survival outcomes (ref: Grist doi.org/10.1016/j.cell.2025.07.042/). This research emphasizes the necessity of developing predictive tests to enhance treatment selection in advanced prostate cancers. Moreover, innovative methodologies such as Stereo-seq V2 have emerged, enabling high-resolution spatial mapping of total RNA in formalin-fixed, paraffin-embedded samples, which is crucial for clinical applications (ref: Zhao doi.org/10.1016/j.cell.2025.08.008/). The introduction of allele-specific phylogenetic analysis (ALPACA) has also provided insights into the coevolution of single nucleotide variants and copy number alterations in lung cancer, linking clone copy number diversity to patient survival (ref: Pawlik doi.org/10.1038/s41586-025-09398-w/). These findings collectively illustrate the transformative potential of genomic profiling in tailoring cancer therapies and improving patient outcomes.